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Andreas Nieder
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Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.001.0001
EISBN: 9780262354318
How our intuitive understanding of numbers is deeply rooted in our biology, traceable through both evolution and development. Humans' understanding of numbers is intuitive. Infants are able to estimate and calculate even before they learn the words for numbers. How have we come to possess this talent for numbers? In A Brain for Numbers , Andreas Nieder explains how our brains process numbers. He reports that numerical competency is deeply rooted in our biological ancestry; it can be traced through both the evolution of our species and the development of our individual minds. It is not, as it has been traditionally explained, based on our ability to use language. We owe our symbolic mathematical skills to the nonsymbolic numerical abilities that we inherited from our ancestors. The principles of mathematics, Nieder tells us, are reflections of the innate dispositions wired into the brain. Nieder explores how the workings of the brain give rise to numerical competence, tracing flair for numbers to dedicated “number neurons” in the brain. Drawing on a range of methods including brain imaging techniques, behavioral experiments, and twin studies, he outlines a new, integrated understanding of the talent for numbers. Along the way, he compares the numerical capabilities of humans and animals, and discusses the benefits animals reap from such a capability. He shows how the neurobiological roots of the brain's nonverbal quantification capacity are the evolutionary foundation of more elaborate numerical skills. He discusses how number signs and symbols are represented in the brain; calculation capability and the “neuromythology” of mathematical genius; the “start-up tools” for counting and developmental of dyscalculia (a number disorder analogous to the reading disorder dyslexia); and how the brain processes the abstract concept of zero.
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0011
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0012
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0014
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0015
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0016
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0017
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0019
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0020
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0022
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0023
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0024
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0025
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0001
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0002
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
EISBN: 9780262354318
Publisher: The MIT Press
Published: 19 November 2019
DOI: 10.7551/mitpress/11565.003.0004
EISBN: 9780262354318